HIGH-DENSITY SILICONE OIL DENSIRON-68 AS AN INTRAOCULAR TAMPONADE FOR PRIMARY INFERIOR RETINAL DETACHMENTS
Bibliographic record
Abstract
In Brief Purpose: To evaluate the effectiveness and safety of the heavy silicone oil Densiron-68 as an internal retinal tamponade after vitrectomy in patients with primary inferior rhegmatogenous retinal detachment. Methods: A retrospective consecutive case series involving inferior rhegmatogenous retinal detachment in 42 patients recruited between 2007 and 2010 was completed. All patients underwent primary vitrectomy followed by injection of Densiron-68. Each patient was then examined at 1 week, 1 month, 3 months, and 6 months after its removal. Included patients had a rhegmatogenous retinal detachment with at least 1 retinal break between 4 and 8 clock hours and completed 6 months of follow-up after removal of Densiron-68. Assessments for reattachment of the retina, visual acuity, and any complications from the surgery were recorded. Results: Thirty-nine of 42 patients completed all follow-up visits. Anatomical success was achieved in 85% (33 of 39) of cases with one procedure, increasing to 95% (37 of 39) with additional surgery. The mean visual acuity improved from mean logarithm of the minimum angle of resolution of 1.29 ± 0.61 preoperatively to 0.87 ± 0.67 postoperatively. The most common complications were cataracts (83%, 10 of 12), posterior capsular opacification (22%, 6 of 27), and ocular hypertension (15%, 6 of 39). Conclusion: High anatomical success rates can be achieved with primary vitrectomy for inferior rhegmatogenous retinal detachment with the use of Densiron-68. Successful surgical repair of retinal detachments from inferior breaks with primary pars plana vitrectomy using Densiron as the endotamponade agent can be achieved. High anatomical success rates, acceptable visual function, and manageable complications were the outcomes observed in this study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".